Time Series Database (TSDB)

Time Series Database (TSDB) supports high-speed data reading and writing. It offers high compression ratios for cost-efficient data storage. This service also supports visualization of precision reduction, interpolation, multi-metric aggregate computing, and query results. The TSDB service reduces storage costs and improves the efficiency of data writing, query, and analysis. This enables you to handle large amounts of data points and collect data more frequently. This service has been widely applied to systems in different industries, such as IoT monitoring systems, enterprise energy management systems (EMSs), production security monitoring systems, and power supply monitoring systems.

Benefits

High PerformanceOptimizes database architectures and algorithms. TSDB can read or write millions of data points within seconds.

Cost EfficiencyApplies an efficient compression algorithm to reduce the size of each data point to 2 bytes, saving more than 90% in storage costs.

IoT devices connect to the cloud through Alibaba Cloud IoT service. Device data and analysis results are written into TSDB in real time for storage and computing. TSDB then outputs the time series data to the frontend monitoring system so that you can monitor and analyze IoT devices in real time.

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Monitoring and Management of Industrial, Energy, and Chemical Industry Devices

Monitoring and Management of Industrial, Energy, and Chemical Industry Devices

Monitoring and Management of Industrial, Energy, and Chemical Industry Devices

Real-time monitoring of industrial, energy, and chemical industry devices and integration of monitoring and analysis data. Industrial devices connect to the cloud through gateway services. Device data and analysis results are written into HiTSDB in real time for storage and computing. HiTSDB outputs time series data to the frontend monitoring system. In this way, you can monitor and analyze these devices in real time.

Advantages

High Performance and Scalability

TSDB supports high-speed data writing. It applies a distributed architecture that helps resolve issues of performance and scalability found in time series databases of traditional industries that use a centralized architecture.

Cost Efficiency

Applies storage algorithms with a high compression ratio to help save storage costs by more than 90% and greatly lower an enterprises' initial investment.

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Establishes a monitoring system to monitor application performance and business

Application and business performance indicators are collected through logs, messages, and other approaches, and then delivered to the computing system for real-time statistics and computing. You can then write the corresponding time series data to HiTSDB and aggregate, analyze, and display the data.